[Air-L] Seen by Machine: Machine learning in the BBC Archive, Thu 6th Dec, 6-8pm

[Gray, Jonathan]

For those of you in/around London, we will be hosting a talk with Daniel Chavez at KCL on Thursday evening on a recent experiment to curate clips from BBC archives using machine learning algorithms. The seminar series is public so, as always, please do feel free to forward to colleagues, students, friends and anyone else who might be interested!

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## Seen by Machine: Machine learning in the BBC Archive
## Register: http://seen-by-machine.eventbrite.co.uk
## When? Thu 6 December 2018, 18:00 – 20:00 GMT
## Where? King's College London, Bush House Lecture Theatre 2 BH(S)4.04, Level 4, South, King's College London, 30 Aldwych, London, WC2B 4BG

Can we programme machines to find value in moving imagery?

Discussing an experiment with the BBC's archive, Daniel Chávez Heras (King’s College London) will show and introduce elements from the video project Made by Machine: When AI met the Archive. Together with a team of researchers at BBC R&D, they created a television programme from archive footage using different machine learning techniques.

Daniel will show a selection of clips from the programme and will critically examine the methods used to produce them. Through these examples, he will introduce the idea of computational spectatorship as a way to understand how our visual regimes are increasingly mediated by machine-seers. Can audiovisual archives be considered “cultural big data” and are moving images like any other type of data?

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Bio: Daniel has been working with pictures and computers, in various capacities, for over ten years. He trained as a designer, back in his native Mexico, and has worked professionally in print media, television, and digital. In 2010 he was awarded a Jumex fellowship for the study of contemporary art, and he holds an MA in Film Studies from King’s College London, where he is now trying to train computers to watch films for his PhD at the department of digital humanities. Daniel’s research is funded by Mexico’s Ministry of Education through its Science and Technology Research Council (CONACYT).

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This event is part of a public seminar series on *critical inquiry with and about the digital*, organised by the Department of Digital Humanities, King's College London.
You can sign up to receive announcements about future events here: https://mailman.kcl.ac.uk/mailman/listinfo/kingsdh-events
Website: https://www.kcl.ac.uk/artshums/depts/ddh/index.aspx
Twitter: https://twitter.com/kingsdh

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Jonathan Gray | jonathangray.org<http://jonathangray.org/> | @jwyg<http://twitter.com/jwyg>
Lecturer in Critical Infrastructure Studies
Department of Digital Humanities
King’s College London

Recent publications and projects:

  *   Gray, J., Gerlitz, C., & Bounegru, L. (2018) Data Infrastructure Literacy. Big Data & Society. https://doi.org/10.1177/2053951718786316
  *   Gray, J. (2018). Three Aspects of Data Worlds. Krisis: Journal for Contemporary Philosophy. http://krisis.eu/three-aspects-of-data-worlds/
  *   Bounegru, L., Gray, J., Venturini, T., & Mauri, M. (2018). A Field Guide to “Fake News” and Other Information Disorders. Amsterdam: Public Data Lab. http://fakenews.publicdatalab.org/
  *   Venturini, T., Bounegru, L., Gray, J., & Rogers, R. (2018). A reality check(list) for digital methods. New Media & Society. https://doi.org/10.1177/1461444818769236
  *   More available at: http://jonathangray.org/publications/